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https://github.com/introlab/rtabmap_ros.git
synced 2026-10-04 08:47:45 +08:00
Added new demo turtlebot3_sim_rgbd_fake_scan_demo.launch.py
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# Example:
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#
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# Bringup turtlebot3:
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# $ export TURTLEBOT3_MODEL=waffle
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# $ export LDS_MODEL=LDS-01
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# $ ros2 launch turtlebot3_bringup robot.launch.py
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#
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# SLAM:
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# $ ros2 launch rtabmap_demos turtlebot3_rgbd_fake_scan.launch.py
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#
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# Navigation (install nav2_bringup package):
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# $ ros2 launch nav2_bringup navigation_launch.py
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# $ ros2 launch nav2_bringup rviz_launch.py
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#
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# Teleop:
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# $ ros2 run turtlebot3_teleop teleop_keyboard
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from launch import LaunchDescription
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from launch.actions import DeclareLaunchArgument, SetEnvironmentVariable
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from launch.substitutions import LaunchConfiguration
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from launch.conditions import IfCondition, UnlessCondition
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from launch_ros.actions import Node
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def generate_launch_description():
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use_sim_time = LaunchConfiguration('use_sim_time')
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localization = LaunchConfiguration('localization')
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parameters={
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'frame_id':'base_footprint',
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'use_sim_time':use_sim_time,
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'subscribe_rgbd':True,
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'subscribe_scan_cloud':True,
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'use_action_for_goal':True,
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'scan_cloud_is_2d': True,
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# RTAB-Map's parameters should be strings:
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'Reg/Strategy':'1',
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'Reg/Force3DoF':'true',
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'Optimizer/GravitySigma':'0' # Disable imu constraints (we are already in 2D)
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}
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remappings=[
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('rgb/image', '/camera/image_raw'),
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('rgb/camera_info', '/camera/camera_info'),
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('depth/image', '/camera/depth/image_raw'),
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('scan_cloud', 'assembled_cloud')]
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return LaunchDescription([
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# Launch arguments
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DeclareLaunchArgument(
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'use_sim_time', default_value='false',
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description='Use simulation (Gazebo) clock if true'),
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DeclareLaunchArgument(
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'localization', default_value='false',
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description='Launch in localization mode.'),
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# Nodes to launch
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Node(
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package='rtabmap_sync', executable='rgbd_sync', output='screen',
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parameters=[{'approx_sync':False, 'use_sim_time':use_sim_time}],
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remappings=remappings),
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# Convert middle row of depth pixels to a fake laser scan
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Node(
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package='depthimage_to_laserscan', executable='depthimage_to_laserscan_node', output='screen',
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parameters=[{
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'use_sim_time':use_sim_time,
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'range_max': 5.0
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}],
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remappings=[
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('depth', '/camera/depth/image_raw'),
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('depth_camera_info', '/camera/camera_info'),
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('scan', '/camera/scan')
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]),
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# Just to convert the fake laser scan to PointCloud2
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Node(
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package='rtabmap_util', executable='lidar_deskewing', output='screen',
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parameters=[{'use_sim_time':use_sim_time,
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'fixed_frame_id': 'camera_link'}], # use camera frame
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remappings=[
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('input_scan', '/camera/scan')
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]),
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# Assemble the fake laser scans using a circular buffer, then feed that cloud to rtabmap
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Node(
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package='rtabmap_util', executable='point_cloud_assembler', output='screen',
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parameters=[{'use_sim_time':use_sim_time,
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'max_clouds': 20,
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'voxel_size': 0.05,
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'wait_for_transform': 1.0,
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'linear_update': 0.3,
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'angular_update': 0.5,
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'circular_buffer': True,
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'frame_id': 'base_link'}],
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remappings=[
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('assembled_cloud', 'assembled_cloud'),
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('cloud', '/camera/scan/deskewed')
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]),
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# SLAM Mode:
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Node(
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condition=UnlessCondition(localization),
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package='rtabmap_slam', executable='rtabmap', output='screen',
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parameters=[parameters],
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remappings=remappings,
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arguments=['-d']),
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# Localization mode:
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Node(
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condition=IfCondition(localization),
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package='rtabmap_slam', executable='rtabmap', output='screen',
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parameters=[parameters,
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{'Mem/IncrementalMemory':'False',
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'Mem/InitWMWithAllNodes':'True'}],
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remappings=remappings),
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Node(
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package='rtabmap_viz', executable='rtabmap_viz', output='screen',
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parameters=[parameters],
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remappings=remappings),
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# Obstacle detection with the camera for nav2 local costmap.
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# First, we need to convert depth image to a point cloud.
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# Second, we segment the floor from the obstacles.
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Node(
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package='rtabmap_util', executable='point_cloud_xyz', output='screen',
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parameters=[{'decimation': 2,
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'max_depth': 3.0,
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'voxel_size': 0.02}],
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remappings=[('depth/image', '/camera/depth/image_raw'),
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('depth/camera_info', '/camera/camera_info'),
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('cloud', '/camera/cloud')]),
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Node(
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package='rtabmap_util', executable='obstacles_detection', output='screen',
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parameters=[parameters],
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remappings=[('cloud', '/camera/cloud'),
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('obstacles', '/camera/obstacles'),
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('ground', '/camera/ground')]),
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])
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@@ -0,0 +1,117 @@
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# Requirements:
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# Install Turtlebot3 packages
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# Modify turtlebot3_waffle SDF:
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# 1) Edit /opt/ros/$ROS_DISTRO/share/turtlebot3_gazebo/models/turtlebot3_waffle/model.sdf
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# 2) Add
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# <joint name="camera_rgb_optical_joint" type="fixed">
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# <parent>camera_rgb_frame</parent>
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# <child>camera_rgb_optical_frame</child>
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# <pose>0 0 0 -1.57079632679 0 -1.57079632679</pose>
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# <axis>
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# <xyz>0 0 1</xyz>
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# </axis>
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# </joint>
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# 3) Rename <link name="camera_rgb_frame"> to <link name="camera_rgb_optical_frame">
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# 4) Add <link name="camera_rgb_frame"/>
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# 5) Change <sensor name="camera" type="camera"> to <sensor name="camera" type="depth">
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# 6) Change image width/height from 1920x1080 to 640x480
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# Example:
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# $ ros2 launch rtabmap_demos turtlebot3_sim_rgbd_fake_scan_demo.launch.py
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#
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# Teleop:
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# $ ros2 run turtlebot3_teleop teleop_keyboard
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from ament_index_python.packages import get_package_share_directory
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from launch import LaunchDescription
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from launch.actions import DeclareLaunchArgument, IncludeLaunchDescription, OpaqueFunction
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from launch.substitutions import LaunchConfiguration, PathJoinSubstitution
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from launch.launch_description_sources import PythonLaunchDescriptionSource
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from launch_ros.substitutions import FindPackageShare
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import os
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def launch_setup(context, *args, **kwargs):
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if not 'TURTLEBOT3_MODEL' in os.environ:
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os.environ['TURTLEBOT3_MODEL'] = 'waffle'
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# Directories
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pkg_turtlebot3_gazebo = get_package_share_directory(
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'turtlebot3_gazebo')
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pkg_nav2_bringup = get_package_share_directory(
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'nav2_bringup')
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pkg_rtabmap_demos = get_package_share_directory(
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'rtabmap_demos')
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world = LaunchConfiguration('world').perform(context)
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nav2_params_file = PathJoinSubstitution(
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[FindPackageShare('rtabmap_demos'), 'params', 'turtlebot3_rgbd_nav2_params.yaml']
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)
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# Paths
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gazebo_launch = PathJoinSubstitution(
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[pkg_turtlebot3_gazebo, 'launch', f'turtlebot3_{world}.launch.py'])
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nav2_launch = PathJoinSubstitution(
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[pkg_nav2_bringup, 'launch', 'navigation_launch.py'])
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rviz_launch = PathJoinSubstitution(
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[pkg_nav2_bringup, 'launch', 'rviz_launch.py'])
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rtabmap_launch = PathJoinSubstitution(
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[pkg_rtabmap_demos, 'launch', 'turtlebot3', 'turtlebot3_rgbd_fake_scan.launch.py'])
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# Includes
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gazebo = IncludeLaunchDescription(
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PythonLaunchDescriptionSource([gazebo_launch]),
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launch_arguments=[
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('x_pose', LaunchConfiguration('x_pose')),
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('y_pose', LaunchConfiguration('y_pose'))
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]
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)
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nav2 = IncludeLaunchDescription(
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PythonLaunchDescriptionSource([nav2_launch]),
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launch_arguments=[
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('use_sim_time', 'true'),
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('params_file', nav2_params_file)
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]
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)
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rviz = IncludeLaunchDescription(
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PythonLaunchDescriptionSource([rviz_launch])
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)
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rtabmap = IncludeLaunchDescription(
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PythonLaunchDescriptionSource([rtabmap_launch]),
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launch_arguments=[
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('localization', LaunchConfiguration('localization')),
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('use_sim_time', 'true')
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]
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)
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return [
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# Nodes to launch
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nav2,
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rviz,
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rtabmap,
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gazebo
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]
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def generate_launch_description():
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return LaunchDescription([
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# Launch arguments
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DeclareLaunchArgument(
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'localization', default_value='false',
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description='Launch in localization mode.'),
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DeclareLaunchArgument(
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'world', default_value='house',
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choices=['world', 'house', 'dqn_stage1', 'dqn_stage2', 'dqn_stage3', 'dqn_stage4'],
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description='Turtlebot3 gazebo world.'),
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DeclareLaunchArgument(
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'x_pose', default_value='-2.0',
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description='Initial position of the robot in the simulator.'),
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DeclareLaunchArgument(
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'y_pose', default_value='0.5',
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description='Initial position of the robot in the simulator.'),
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OpaqueFunction(function=launch_setup)
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])
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@@ -130,7 +130,7 @@ PointCloudAssembler::PointCloudAssembler(const rclcpp::NodeOptions & options) :
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if(maxClouds_==0 && assemblingTime_ ==0.0)
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if(maxClouds_==0 && assemblingTime_ ==0.0)
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{
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{
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RCLCPP_ERROR(get_logger(), "point_cloud_assembler: max_cloud or assembling_time parameters should be set!");
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RCLCPP_ERROR(get_logger(), "point_cloud_assembler: max_clouds or assembling_time parameters should be set!");
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exit(-1);
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exit(-1);
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}
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}
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